{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T16:17:01Z","timestamp":1781367421410,"version":"3.54.1"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030954666","type":"print"},{"value":"9783030954673","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-95467-3_13","type":"book-chapter","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T10:07:13Z","timestamp":1643710033000},"page":"157-171","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Anomaly Detection in Smart Grid Network Using FC-Based Blockchain Model and Linear SVM"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3335-373X","authenticated-orcid":false,"given":"Saurabh","family":"Shukla","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6579-724X","authenticated-orcid":false,"given":"Subhasis","family":"Thakur","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5790-050X","authenticated-orcid":false,"given":"John G.","family":"Breslin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,2]]},"reference":[{"issue":"1","key":"13_CR1","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/JIOT.2020.2993601","volume":"8","author":"MB Mollah","year":"2020","unstructured":"Mollah, M.B., et al.: Blockchain for future smart grid: a comprehensive survey. IEEE Internet Things J. 8(1), 18\u201343 (2020)","journal-title":"IEEE Internet Things J."},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"86746","DOI":"10.1109\/ACCESS.2019.2920682","volume":"7","author":"AS Musleh","year":"2019","unstructured":"Musleh, A.S., Yao, G., Muyeen, S.: Blockchain applications in smart grid\u2013review and frameworks. IEEE Access 7, 86746\u201386757 (2019)","journal-title":"IEEE Access"},{"key":"13_CR3","first-page":"763","volume-title":"International Conference on Social Implications of Computers in Developing Countries","author":"GM Gilbert","year":"2019","unstructured":"Gilbert, G.M., Naiman, S., Kimaro, H., Bagile, B.A.: critical review of edge and fog computing for smart grid applications. In: International Conference on Social Implications of Computers in Developing Countries, pp. 763\u2013775. Springer (2019)"},{"key":"13_CR4","doi-asserted-by":"crossref","unstructured":"Drayer, E., Routtenberg, T.: Detection of false data injection attacks in smart grids based on graph signal processing. IEEE Systems Journal (2019)","DOI":"10.1109\/GlobalSIP.2018.8646454"},{"key":"13_CR5","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1016\/j.patrec.2020.07.020","volume":"138","author":"M Li","year":"2020","unstructured":"Li, M., Zhang, K., Liu, J., Gong, H., Zhang, Z.: Blockchain-based anomaly detection of electricity consumption in smart grids. Pattern Recogn. Lett. 138, 476\u2013482 (2020)","journal-title":"Pattern Recogn. Lett."},{"key":"13_CR6","first-page":"1","volume":"99","author":"Y Yang","year":"2019","unstructured":"Yang, Y., Liu, M., Zhou, Q., Zhou, H., Wang, R.: A blockchain based data monitoring and sharing approach for smart grids. IEEE Access 99, 1 (2019)","journal-title":"IEEE Access"},{"issue":"1","key":"13_CR7","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3390\/bdcc3010008","volume":"3","author":"M Hussain","year":"2019","unstructured":"Hussain, M., Beg, M.: Fog computing for internet of things (IoT)-aided smart grid architectures. Big Data Cogn. Comput. 3(1), 8 (2019)","journal-title":"Big Data Cogn. Comput."},{"issue":"7","key":"13_CR8","doi-asserted-by":"crossref","first-page":"e5581","DOI":"10.1002\/cpe.5581","volume":"32","author":"B Jamil","year":"2020","unstructured":"Jamil, B., Shojafar, M., Ahmed, I., Ullah, A., Munir, K., Ijaz, H.: A job scheduling algorithm for delay and performance optimization in fog computing. Concurrency Comput. Pract. Experience 32(7), e5581 (2020)","journal-title":"Concurrency Comput. Pract. Experience"},{"issue":"9","key":"13_CR9","first-page":"75","volume":"9","author":"MA Hashmani","year":"2018","unstructured":"Hashmani, M.A., Jameel, S.M., Ibrahim, A.M., Zaffar, M., Raza, K.: An ensemble approach to big data security (cyber security). Int. J. Adv. Comput. Sci. Appl. 9(9), 75\u201377 (2018)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"13_CR10","doi-asserted-by":"publisher","first-page":"105375","DOI":"10.1016\/j.ijepes.2019.06.033","volume":"114","author":"C Gavriluta","year":"2020","unstructured":"Gavriluta, C., Boudinet, C., Kupzog, F., Gomez-Exposito, A., Caire, R.: Cyber-physical framework for emulating distributed control systems in smart grids. Int. J. Electr. Power Energy Syst. 114, 105375 (2020)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"13_CR11","doi-asserted-by":"publisher","first-page":"106490","DOI":"10.1016\/j.epsr.2020.106490","volume":"187","author":"T Zou","year":"2020","unstructured":"Zou, T., Bretas, A.S., Ruben, C., Dhulipala, S.C., Bretas, N.: Smart grids cyber-physical security: Parameter correction model against unbalanced false data injection attacks. Electric Power Syst. Res. 187, 106490 (2020)","journal-title":"Electric Power Syst. Res."},{"issue":"1","key":"13_CR12","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.aej.2020.09.008","volume":"60","author":"K Wu","year":"2021","unstructured":"Wu, K., Cheng, R., Cui, W., Li, W.: A lightweight SM2-based security authentication scheme for smart grids. Alexandria Eng. J. 60(1), 435\u2013446 (2021)","journal-title":"Alexandria Eng. J."},{"issue":"6","key":"13_CR13","doi-asserted-by":"publisher","first-page":"5820","DOI":"10.1109\/TSG.2017.2697440","volume":"9","author":"R Moghaddass","year":"2017","unstructured":"Moghaddass, R., Wang, J.: A hierarchical framework for smart grid anomaly detection using large-scale smart meter data. IEEE Trans. Smart Grid 9(6), 5820\u20135830 (2017)","journal-title":"IEEE Trans. Smart Grid"},{"key":"13_CR14","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.cag.2013.10.006","volume":"38","author":"H Janetzko","year":"2014","unstructured":"Janetzko, H., Stoffel, F., Mittelst\u00e4dt, S., Keim, D.A.: Anomaly detection for visual analytics of power consumption data. Comput. Graph. 38, 27\u201337 (2014)","journal-title":"Comput. Graph."},{"key":"13_CR15","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.rser.2014.01.088","volume":"33","author":"J-S Chou","year":"2014","unstructured":"Chou, J.-S., Telaga, A.S.: Real-time detection of anomalous power consumption. Renew. Sustain. Energy Rev. 33, 400\u2013411 (2014)","journal-title":"Renew. Sustain. Energy Rev."},{"key":"13_CR16","first-page":"102535","volume":"54","author":"P Matou\u0161ek","year":"2020","unstructured":"Matou\u0161ek, P., Ry\u0161av\u00fd, O., Gr\u00e9gr, M., Havlena, V.: Flow based monitoring of ICS communication in the smart grid. J. Inform. Secur. Appl. 54, 102535 (2020)","journal-title":"J. Inform. Secur. Appl."},{"key":"13_CR17","doi-asserted-by":"publisher","first-page":"107094","DOI":"10.1016\/j.comnet.2019.107094","volume":"169","author":"MZ Gunduz","year":"2020","unstructured":"Gunduz, M.Z., Das, R.: Cyber-security on smart grid: Threats and potential solutions. Comput. Networks 169, 107094 (2020)","journal-title":"Comput. Networks"},{"key":"13_CR18","doi-asserted-by":"crossref","unstructured":"Priyadharshini, N., Gomathy, S., Sabarimuthu, M.: A review on microgrid architecture, cyber security threats and standards. Mater. Today Proc. (2020)","DOI":"10.1016\/j.matpr.2020.10.622"},{"issue":"1","key":"13_CR19","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/TSG.2012.2228283","volume":"4","author":"MA Rahman","year":"2012","unstructured":"Rahman, M.A., Al-Shaer, E., Bera, P.: A noninvasive threat analyzer for advanced metering infrastructure in smart grid. IEEE Trans. Smart Grid 4(1), 273\u2013287 (2012)","journal-title":"IEEE Trans. Smart Grid"}],"container-title":["Lecture Notes in Computer Science","Machine Learning, Optimization, and Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-95467-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T17:08:02Z","timestamp":1700154482000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-95467-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030954666","9783030954673"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-95467-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"2 February 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"LOD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning, Optimization, and Data Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Grasmere","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mod2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/lod2021.icas.cc\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"215","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"86","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5-6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1-2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}